IJITEE (International Journal of Information Technology and Electrical Engineering)
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    95 research outputs found

    Remote Sensing Technology for Land Farm Mapping Based on NDMI, NDVI, and LST Feature

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    Remote Sensing is a reliable and efficient data acquisition techniques. This technique is widely used for land image processing. This technique has many advantages, especially in terms of cost and time. In this study, the classification between dry and irrigated land from irrigation canals is presented. Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST) values obtained from satellite imagery data are used in this process. It is expected that through this method, the distribution and control of irrigation water can optimize existing agricultural potential. Ground Check (GC) is used for validation process. The results showed that the error rate based on the moon was not so large, i.e., 18%. The highest errors occur in February and March. This happens because those months are the rainy season, so the measured temperature is mostly the temperature above the cloud layer. On the other hand, the lowest error occurs in November. Also, it can be seen that this method can function optimally when detecting residential areas or highways

    Management Information System of the Billing Subsystem: A Prototype Design

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    Abstract— Prof. Soeparwi Veterinary Hospital is one of veterinary medical service providers in Yogyakarta ad Central Java areas in which the transaction and the documentation managing process is still done manually. Therefore, Prof. Soeparwi VH needs a management information system that facilitate them in managing process and documentation of transactions, one of which is through billing or billing subsystem. This subsystem was designed using UML and was developed in a form of web-based prototype using PHP and HTML languages as well as CSS with CodeIgniter framework and MySQL for database.  The development of this billing subsystem applied a Rapid Application Development (RAD) model process that focused on the working model and obtained feedback from users to improve the system. Results of this system's development were evaluated with a system feasibility test and functionality test. A system feasibility test was administered by distributing Likert scale questionnaire and analysed them based on a summated rating scale method which showed a result of 85.4%. That result indicates that users strongly agree that the system has met their needs.  The system functionality was tested using a black box method and the result was that the system properly functioned. This billing subsystem could process transaction bills automatically included in the calculation. This system produced bills and reports that could be printed and exported. In addition, data was stored in a database so that it supported paperless documentation

    Adaptive Traffic Light Control Based on Actual Condition Using Google Map API

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    Traffic congestion is one of the main problems in transportation sector and it causes a lot of drawbacks to public. The traffic light system is used to reduce the level of occurring traffic congestion. Generally, the available traffic light systems use a fixed time setting. This old traffic control system is no longer able to manage the ever-changing traffic conditions effectively and efficiently, causing a long queue of vehicles. To overcome this problem, a traffic light control system that can adapt to actual conditions of road density and can run automatically is offered. This system utilizes Google Map API as a road density data source. The result of this study is a traffic control system that can adjust the green light time duration based on the obtained density values and density trends, simulation of this adaptive system as well as simulation results analysis. A prototype of this adaptive control system was also produced in this study

    Blood Transfusion Information System Design for Blood Transfusion Services Unit

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    Information Systems Development as an information provider, both for the users and outsiders, becomes very important at this time. Through a good data management, it can minimize the need for human labor that is currently being replaced by computers. This paper will discuss a design for a blood transfusion information system because there are several issues found in the Blood Transfusion Service Unit (UPTD), some of which are donor data recording at the Blood Transfusion Service Unit which still use manual recording with a book, donors data stored in the book is not well organized, and there are blood donors who do not obey the blood donor regulation, reminder for blood donor level is 70 days and the screening result. This design can do managements which are needed when people want to donor their blood. The database in this system was designed using S-Designor, while the model design was designed using Rational Rose

    PTS and AICF Combined PAPR Reduction Techniques in Multi-Antenna OFDM Systems

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    A high PAPR value is one of important weaknesses in OFDM systems. Several reduction techniques are applied to reduce PAPR including partial transmit sequence (PTS) as well as clipping and filtering (CF). Adaptive iterative clipping and filtering is a development of iterative clipping and filtering techniques. In this paper, a combination of Partial transmits sequence and adaptive iterative clipping filtering (PTS-AICF) techniques on multi-antenna OFDM transmitters was carried out. The simulation results showed that combined technique application had a better performance than non-combined technique (PTS), either for two or four antennas, and also for different sub block numbers. Performance was also influenced by iterations number on AICF section, the more iterations were used, the better the reduction technique performance was because it produced smaller PAPR 0 value

    Random Time Delay Mitigation in Pulse Radar Systems Implementation using Universal Software Radio Peripheral (USRP) and GNU Radio Companion (GRC)

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    Abstract— Radar or radio detection and ranging has a basic function to detect and measure a target range. One of the latest developments is Software Defined Radio (SDR)-based radar. An example of SDR implementation is by using Universal Software Radio Peripheral (USRP) as hardware and GNU Radio Companion (GRC) as software. The simplest radar type is pulse radar in which system timing is crucial. Meanwhile, in pulse radar system implementation using USRP and GRC, there is an issue with the random processing time delay between communication protocol of USRP and computer running the GRC, which causes incorrect measurement. This research aims to analyze the random time delay in the pulse radar system implementation by using USRP and GRC to anticipate the effect of random time delay. Pulse radar systems implementation is administered by transmitting 128 bits of Barker code and performing correlation between transmitted and received radar signal. Research result shows that the random time delay can be anticipated by making the direct reception from radar transmitter to receiver as the reference in range calculation

    Gateway Redundancy Using Common Address Redundancy Protocol (CARP)

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    Gateway redundancy can ensure the network availability and reliability in providing a service. One way is to make a backup system on the gateway. This backup system can be applied to the router so that if a failure occurs on the master router its task and function can be transferred to the slave router. The transition process from master router to slave router is known as failover. Common Address Redundancy Protocol (CARP) is one of the redundancy gateway protocols and provides a failover mechanism on the router. Therefore, this study will analyse the CARP protocol implementation in ensuring the network services availability by measuring parameters of throughput, delay, retransmission, and downtime. The results showed that CARP implementation on the network produced the throughput, delay, and retransmission values of 61.7 Mbps, 0.14 ms, and 1.11% when without the link termination and 18 Mbps, 0.53 ms, and 1.58% when with link termination, while the downtime value is 2.91 seconds. The QoS test results show good quality based on ITU-T

    DC Motor Speed Control Using Hybrid PID-Fuzzy with ITAE Polynomial Initiation

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    DC motors are widely applied in industrial sector, especiallyprocesses of automation and robotics. Given its role in the sector, DC motor operation needs to be optimized. One of optimization steps is controlling speed using several control methods, for example conventional PID methods, PID Ziegler Nichols, PID based on ITAE polynomials, and Hybrid PID-Fuzzy. From these methods, Hybrid PID-Fuzzy was chosen as a method to be proposed in this paper because it can anticipate shortcomings of PID controllers and fuzzy controllers so as to produce system responses that are fast and adaptive to errors. This paper aimed to design a Hybrid PID-Fuzzy system based on ITAE polynomials (Hybrid-ITAE), to analyze its performance parameters values, and tp compare Hybrid-ITAE performance with conventional PID method. Working parameters being reviewed include overshoot, rise time, settling time, and ITAE. First of all, JGA25-370 DC motor was modeled in a form of a third order transfer function equation. Based on the transfer function, PID parameters were calculated using PID Output Feedback and ITAE polynomial methods. The best ITAE polynomial PID controllers were then be combined with a Fuzzy Logic Controller to form a Hybrid-ITAE system. Simulation and experimental stages were carried out in two conditions, namely no load and loaded. Simulation and experimental results showed that Hybrid-ITAE (l = 0.85) was the best controller for no-load simulation conditions. For loaded simulation Hybrid-ITAE (l=1) was a better controller. In no-loads experiment, the best controller was Hybrid PID-Ziegler Nichols, while for loaded condition the best controller was Hybrid PID-Ziegler Nichols

    Autocorrelation Method for Cyclic Prefix OFDM Estimation

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    A radio system design providing various data service needs becomes one of the Software Defined Radio (SDR) system advantages. SDR technology applies software functions further to be run in hardware platforms. The need for services with greater data rates can be resolved by using multi-carrier transmission techniques, one of which is the Orthogonal Frequency Division Multiplexing (OFDM) technique. This paper discusses the detection of OFDM signals and their parameters. Multi-carrier transmission can prevent Inter-Symbol Interference (ISI) occurrence due to multi-path fading effect. The recognition can classify the correctly received signals, including the signal conditions mixed with AWGN noise. The autocorrelation method was used to estimate the OFDM parameters, namely the one symbol duration and the cyclic prefix duration. The detected cyclic prefix durations were 1/2, 1/4, 1/8, and 1/16. This method is very simple, because with the cyclic prefix presence, a different signal peak will be detected to further estimate the cyclic prefix duration. The results show the correlation method performance can detect one symbol duration with 100%, accuracy, starting at SNR 0 dB, whereas the cyclic prefix duration accuracy rate is getting more accurate by using a less cyclic prefix duration, which is 1/16 of the total symbol duration

    Ontology-Based Social Media Talks Topic Classification (Twitter Case)

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    In the era of digital communication, the use of Twitter as a customer service has been widely encountered. Companies have started to develop strategies around effective use of Twitter, one of which was to identify problems that customers frequently complain about. Twitter, with its straightforward tweet characteristics, will certainly contain sentences with very specific and easily recognizable keywords. These characteristics can be used as a basis for classifying tweets into certain topics. With a help of ontology, classification with keywords can be done automatically. The purpose of this paper is to design an ontology used as a basis for classifying tweets into certain topics related to the 4G telecommunications network in Indonesia and to evaluate performance of proposed classifier model

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    IJITEE (International Journal of Information Technology and Electrical Engineering)
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